Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

🤖 Plain-English Summary

In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, matching or even surpassing human performance. Lastly, we provide additional issues and recommended solutions to assist researchers in comprehending the existing research gaps.

🔑 Key Findings

• Deep learning technology, which grew out of artificial neural networks (ANN), has become a big deal in computing because it can learn from data.
• The ability to learn enormous volumes of data is one of the benefits of deep learning.
• In the past few years, the field of deep learning has grown quickly, and it has been used successfully in a wide range of traditional fields.

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